Optimizing Kubernetes Application and Resource Efficiency with Machine Learning

Optimizing Kubernetes Application and Resource Efficiency with Machine Learning

Exceed Business Outcomes for Cloud-native Apps while Managing Runaway Cloud Costs

According to ESG research, the most-cited objective for digital transformation was to become more operationally efficient. For many, leveraging cloud resources is part of this transformation; it is faster and easier to spin up compute instances, storage, and applications in the cloud than to buy, build, and manage them on-premises. In addition, with cloud computing, organizations pay only for what they use. ESG research demonstrates that public cloud infrastructure adoption has almost doubled in the past five years, with 94% of respondents currently using public cloud services.

w aaaa17426 - Optimizing Kubernetes Application and Resource Efficiency with Machine Learning

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